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. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https
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limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science, brain science, and neuroscience); data science and machine learning; modeling
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learn Earth’s processes and how they impact our society and environment. On Campus Compare Geology program https://ows.sites.clemson.edu/programfinder/images/cards/52-2.jpg Three students descend a ladder
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity
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based on predictions from statistical and machine learning models Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria
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at https://www.ntnu.edu/indecol . Your immediate leader is Dr. Martin Dorber. Prof. Francesca Verones, Assoc. Prof. Johan Berg Pettersen and Assoc. Prof. Tora Bonnevie are co-supervisors of the candidate